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Study on Viscoelastic Deformation Monitoring Index of an RCC Gravity Dam in an Alpine Region Using Orthogonal Test Design

机译:正交试验设计研究高寒地区碾压混凝土重力坝的粘弹性变形监测指标

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摘要

The main objective of this study is to present a method of determining viscoelastic deformation monitoring index of a Roller-compacted concrete (RCC) gravity dam in an alpine region. By focusing on a modified deformation monitoring model considering frost heave and back analyzed mechanical parameters of the dam, the working state of viscoelasticity for the dam is illustrated followed by an investigation and designation of adverse load cases using orthogonal test method. Water pressure component is then calculated by finite element method, while temperature, time effect, and frost heave components are obtained through deformation statistical model considering frost heave. The viscoelastic deformation monitoring index is eventually determined by small probability and maximum entropy methods. The results show that (a) with the abnormal probability 1% the dam deformation monitoring index for small probability and maximum entropy methods is 23.703 mm and 22.981 mm, respectively; thus the maximum measured displacement of the dam is less than deformation monitoring index, which indicates that the dam is currently in a state of safety operation and (b) the obtained deformation monitoring index using orthogonal test method is more accurate due to the full consideration of more random factors; the method gained from this study will likely be of use to diagnose the working state for those RCC dams in alpine regions.
机译:这项研究的主要目的是提出一种确定高寒地区碾压混凝土(RCC)重力坝粘弹性变形监测指标的方法。通过着重考虑霜冻胀大和对坝体力学参数进行反分析的改进的变形监测模型,说明了坝体的粘弹性工作状态,然后使用正交试验方法对不利荷载工况进行了调查和确定。然后通过有限元法计算水压力分量,同时通过考虑霜冻胀的变形统计模型获得温度,时间效应和霜冻胀的分量。粘弹性变形监测指标最终由小概率和最大熵方法确定。结果表明:(a)在概率为1%的情况下,大概率方法和最大熵方法的大坝变形监测指标分别为23.703 mm和22.981 mm;因此,测得的大坝最大位移小于变形监测指标,这表明大坝目前处于安全运行状态,并且(b)由于充分考虑了以下因素,使用正交试验方法获得的变形监测指标更加准确。更多随机因素;从这项研究中获得的方法可能将用于诊断高寒地区那些碾压混凝土坝的工作状态。

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  • 来源
    《Mathematical Problems in Engineering》 |2018年第5期|8743505.1-8743505.12|共12页
  • 作者

    Huang Yaoying; Wan Zhiyong;

  • 作者单位

    China Three Gorges Univ, Coll Hydraul & Environm Engn, Yichang 443002, Peoples R China;

    Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Hubei, Peoples R China;

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  • 入库时间 2022-08-17 13:52:04

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